-
nlcontrol
非线性控制 Matlab编译(nonlinear control Matlab Compiler)
- 2004-09-27 16:44:50下载
- 积分：1
-
EigenFace
说明： 基于PCA的人脸表情识别，可以辨别高兴，愤怒和厌恶三种表情。
(In this project, Eigenfaces are used to classify facial expression. It has been assumed that, facial expression can be classified into some discreet classes (like anger, happiness, disgust or sadness) whereas:
1. Absence of any expression is the "Neutral" expression
2. Intensity of a particular expression can be identified by the level of its "dissimilarity" from the Neutral expression)
- 2011-03-17 09:05:55下载
- 积分：1
-
blms
关于块LMS算法的程序,适用于研究自适应滤波器(block LMS algorithm on the procedures applicable to adaptive filter )
- 2006-08-07 03:43:25下载
- 积分：1
-
primal_svm
在主空间训练支持向量几的程序相关的论文和方法可以在网上找到(training in the main support vector space of a few papers related to the procedures and methods can be found on the Internet)
- 2007-02-10 12:52:46下载
- 积分：1
-
Nonlinear
图像处理的MATLAB程序（教学使用）-非线性灰度变换法(MATLAB image processing procedures (Teaching)- linear gray level transformation method)
- 2014-01-02 14:03:11下载
- 积分：1
-
add
自定义MATLAB函数的输入输出变量个数控制，实现简单的加法运算(Since the number of control input and output variables defined MATLAB function, simple addition)
- 2012-11-22 16:57:57下载
- 积分：1
-
15
说明： Matlab从入门到精通中所有的源程序。(Matlab from entry to master all of the source.)
- 2009-10-09 01:47:25下载
- 积分：1
-
zuizhong4panglukwei02
此程序给出了换热网络旁路设计中的相关增益分析，可计算出相对增益矩阵。(This program gives the bypass heat exchanger network design-related gain analysis to calculate the relative gain matrix.)
- 2011-09-20 21:35:38下载
- 积分：1
-
MonteCarlo-Method
使用蒙特卡洛算法，实现对排队等待问题的计算(MonteCarlo method)
- 2015-03-17 13:44:45下载
- 积分：1
-
rengongmianyi
a=load( q.txt )
width=input( 请输入窗宽 )
step=input( 请输入步长 )
m=length(a)
for i=1:floor((m-width)/step+1)
s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step)
end
b=max(max(s))
M=s./b
Rs=input( 请输入本体集半径 )
nd=input( 请输入检测器数模 )
k=1
while k<=nd
d{k}=rand(1,width)
for i=1:floor((m-width)/step+1)
if (norm(d{k}-s(i,:)))^2<Rs
break
end
end
k=k+1
end
for j=1:nd
for i=1:floor((m-width)/step+1)
R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs
break
end
end
k=k+1
end
for j=1:nd
for i=1:floor((m-width)/step+1)
R(i)=(norm(d{j}-s(i,:)))^2)
- 2011-05-21 16:46:49下载
- 积分：1
